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Dr. Geetha M.

Asst. Professor, Vice Chairperson

Dr. Geetha M. currently serves as Vice Chairperson and Assistant Professor (Senior Grade) at the School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri.

Qualification: Ph.D
geetham@am.amrita.edu
Research Interest: Computer Vision, Machine Learning, Pattern Recognition

Bio

Dr. Geetha M. currently serves as Vice Chairperson and Assistant Professor (Senior Grade) at the School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri.

Publications

Journal Article

Year : 2021

Incorporating Relative Position Information in Transformer-Based Sign Language Recognition and Translation

Authors : Dr. Geetha M., Prof. Dr. Prema Nedungadi, Neena Aloysius

Publisher : IEEE

N Aloysius, M Geetha, P Nedungadi, Incorporating Relative Position Information in Transformer-Based Sign Language Recognition and Translation, IEEE Access, 2021

Year : 2021

Machine vision based flood monitoring system using deep learning techniques and fuzzy logic on crowdsourced image data

Authors : Dr. Shivsubramani Krishnamoorthy, Dr. Geetha M., Sethuraman Rao, Bhavana B. Nair

Publisher : IOS Press

B B Nair, S Krishnamoorthy, S N Rao, Machine vision based flood monitoring system using deep learning techniques and fuzzy logic on crowdsourced image data, Intelligent Decision Technologies, 1-14, IOS Press, 2021 DOI: 10.3233/IDT-200133

Year : 2021

Interactive visualization-based surveillance video synopsis

Authors : Dr. Geetha M., K. Namitha, Athi Narayanan

Publisher : Springer US

Namitha, K., Narayanan, A. & Geetha, M. Interactive visualization-based surveillance video synopsis. Appl Intell 52, 3954–3975 (2022)

Year : 2020

Understanding vision-based continuous sign language recognition

Authors : Dr. Geetha M., N. Aloysius

Publisher : Multimedia Tools and Applications

N. Aloysius and M. Geetha, “Understanding vision-based continuous sign language recognition”, Multimedia Tools and Applications, vol. 79, no. 31, pp. 22177 - 22209, 2020.

Year : 2020

A scale space model of weighted average CNN ensemble for ASL fingerspelling recognition

Authors : Dr. Geetha M., N. Aloysius

Publisher : International Journal of Computational Science and Engineering

N. Aloysius and M. Geetha, “A scale space model of weighted average CNN ensemble for ASL fingerspelling recognition”, International Journal of Computational Science and Engineering, vol. 22, 2020

Year : 2018

Image classification using an ensemble-based deep CNN

Authors : Dr. Geetha M., A. Neena

Publisher : Advances in Intelligent Systems and Computing


A. Neena and M. Geetha, “Image classification using an ensemble-based deep CNN”, Advances in Intelligent Systems and Computing, vol. 709, pp. 445-456, 2018

Year : 2017

A 3D stroke based representation of sign language signs using key maximum curvature points and 3D chain codes

Authors : Dr. Geetha M., Dr. M. R. Kaimal

Publisher : Multimedia Tools and Applications, Springer New York LLC


M. Geetha and Dr. Kaimal, M. R., “A 3D stroke based representation of sign language signs using key maximum curvature points and 3D chain codes”, Multimedia Tools and Applications, pp. 1-34, 2017

Year : 2016

Pancreatitis in Children.

Authors : Dr. Geetha M., Sathiyasekaran, Malathi; Biradar, Vishnu; Ramaswamy, Ganesh; Srinivas, S; Ashish, B; Sumathi, B; Nirmala, D; Geetha, M

Publisher : Indian J Pediatr

M. Sathiyasekaran, Biradar, V., Ramaswamy, G., Srinivas, S., Ashish, B., Sumathi, B., Nirmala, D., and Geetha, M., “Pancreatitis in Children.”, Indian J Pediatr, vol. 83, no. 12-13, pp. 1459-1472, 2016.

Year : 2012

A Vision Based Recognition of Indian Sign Language Alphabets and Numerals Using B-Spline Approximation

Authors : Dr. Geetha M., Manjusha U C

Publisher : International Journal on Computer Science & Engineering (IJCSE)


M. Geetha and C, M. U., “A Vision Based Recognition of Indian Sign Language Alphabets and Numerals Using B-Spline Approximation”, International Journal on Computer Science & Engineering (IJCSE), vol. 4, p. 3, 2012

Conference Paper

Year : 2020

Mudra: Convolutional Neural Network based Indian Sign Language Translator for Banks

Authors : Dr. Geetha M., G. Jayadeep, Vishnupriya, N. V., Venugopal, V., Vishnu, S.

Publisher : IEEE, Madurai


G. Jayadeep, Vishnupriya, N. V., Venugopal, V., Vishnu, S., and M. Geetha, “Mudra: Convolutional Neural Network based Indian Sign Language Translator for Banks”, in 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, India, 2020

Year : 2020

An Ensembled Scale-Space Model of Deep Convolutional Neural Networks for Sign Language Recognition

Authors : Dr. Geetha M., N. Aloysius

Publisher : Advances in Artificial Intelligence and Data Engineering, Springer Singapore

N. Aloysius and M. Geetha, “An Ensembled Scale-Space Model of Deep Convolutional Neural Networks for Sign Language Recognition”, in Advances in Artificial Intelligence and Data Engineering, Singapore, 2020

Year : 2018

Automated Screening for Trisomy 21 by measuring Nuchal Translucency and Frontomaxillary Facial Angle

Authors : Prof. Dr. Prema Nedungadi, Dr. Geetha M., P. S. Lakshmi,Menon, N. R., Krishnan, V

Publisher : International Conference on Advances in Computing, Communications and Informatics (ICACCI)

P. S. Lakshmi, M. Geetha, Menon, N. R., Krishnan, V., and Prof. Prema Nedungadi, “Automated Screening for Trisomy 21 by measuring Nuchal Translucency and Frontomaxillary Facial Angle”, in International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018.

Year : 2018

A Trigraph Based Centrality Approach Towards Text Summarization

Authors : Dr. Geetha M., D. Raj

Publisher : 2018 International Conference on Communication and Signal Processing (ICCSP), IEEE


D. Raj and M. Geetha, “A Trigraph Based Centrality Approach Towards Text Summarization”, in 2018 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2018

Year : 2017

Sign language translator for mobile platforms

Authors : Dr. Geetha M., M. Mahesh, Jayaprakash, A.

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

M. Mahesh, Jayaprakash, A., and M. Geetha, “Sign language translator for mobile platforms”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi, India, 2017

Year : 2017

A review on deep convolutional neural networks

Authors : Dr. Geetha M., N. Aloysius

Publisher : 2017 International Conference on Communication and Signal Processing (ICCSP), IEEE

N. Aloysius and M. Geetha, “A review on deep convolutional neural networks”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2017

Year : 2017

Detection and estimation of the extent of flood from crowd sourced images

Authors : Dr. Geetha M., Manoj, M., Sarika, A. S., Mohan, M., and Rao, S. N.

Publisher : 2017 International Conference on Communication and Signal Processing (ICCSP),

M. Geetha, Manoj, M., Sarika, A. S., Mohan, M., and Rao, S. N., “Detection and estimation of the extent of flood from crowd sourced images”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2017

Year : 2016

An FSM based methodology for interleaved and concurrent activity recognition

Authors : Dr. Geetha M., J. Kavya

Publisher : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)


J. Kavya and M. Geetha, “An FSM based methodology for interleaved and concurrent activity recognition”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, India, 2016

Year : 2015

Disrupted structural connectivity using diffusion tensor tractography in epilepsy

Authors : Dr. Geetha M., Pillay, S.

Publisher : 2015 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2015

M. Geetha and Pillay, S. S., “Disrupted structural connectivity using diffusion tensor tractography in epilepsy”, in 2015 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2015, 2015

Year : 2015

A Novel Method on Action Recognition Based on Region and Speed of Skeletal End points

Authors : Dr. Geetha M., B., A. Suresh, Rohith, P., Gayathri Unni, and Harsha, M. P

Publisher : 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)


M. Geetha, B., A. Suresh, Rohith, P., Gayathri Unni, and Harsha, M. P., “A Novel Method on Action Recognition Based on Region and Speed of Skeletal End points”, in 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Kochi, India, 2015

Year : 2014

An improved content based image retrieval in RGBD images using Point Clouds

Authors : Dr. Geetha M., Paul, M. P., and Kaimal, M. R

Publisher : International Conference on Communications and Signal Processing (ICCSP), 2014


M. Geetha, Paul, M. P., and Kaimal, M. R., “An improved content based image retrieval in RGBD images using Point Clouds”, in International Conference on Communications and Signal Processing (ICCSP), 2014 , 2014

Year : 2014

An Improved Human Action Recognition System Using RSD Code Generation

Authors : Dr. Geetha M., Anandsankar, B., Nair, L. S., Amrutha, T., and Rajeev, A

Publisher : Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing (ICONIAAC '14)


M. Geetha, Anandsankar, B., Nair, L. S., Amrutha, T., and Rajeev, A., “An Improved Human Action Recognition System Using RSD Code Generation”, in Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing (ICONIAAC '14), 2014

Year : 2014

An improved method for segmentation of point cloud using Minimum Spanning Tree

Authors : Dr. Geetha M., Rakendu, R

Publisher : International Conference on Communications and Signal Processing (ICCSP), 2014


M. Geetha and Rakendu, R., “An improved method for segmentation of point cloud using Minimum Spanning Tree”, in International Conference on Communications and Signal Processing (ICCSP), 2014 , 2014

Year : 2013

Animation system for Indian Sign Language communication using LOTS notation

Authors : Dr. Geetha M., R. J. Raghavan, Prasad, K. A., Muraleedharan, R.

Publisher : Emerging Trends in Communication, Control, Signal Processing Computing Applications (C2SPCA), 2013 International Conference on

R. J. Raghavan, Prasad, K. A., Muraleedharan, R., and M. Geetha, “Animation system for Indian Sign Language communication using LOTS notation”, in Emerging Trends in Communication, Control, Signal Processing Computing Applications (C2SPCA), 2013 International Conference on, 2013

Year : 2013

A Stroke Based Representation of Indian Sign Language Signs Incorporating Global and Local Motion Information

Authors : Dr. Geetha M., Dr. M. R. Kaimal, P. V. Aswathi;

Publisher : Second International Conference on Advanced Computing, Networking and Security

M. Geetha, Aswathi, P. V., and Dr. M. R. Kaimal, “A Stroke Based Representation of Indian Sign Language Signs Incorporating Global and Local Motion Information”, in Second International Conference on Advanced Computing, Networking and Security, 2013.

Year : 2013

A vision based dynamic gesture recognition of Indian Sign Language on Kinect based depth images

Authors : Dr. Geetha M., Manjusha C; Unnikrishnan P; Harikrishnan R

Publisher : Emerging Trends in Communication, Control, Signal Processing Computing Applications (C2SPCA), 2013 International Conference on


M. Geetha, C, M., P, U., and R, H., “A vision based dynamic gesture recognition of Indian Sign Language on Kinect based depth images”, in Emerging Trends in Communication, Control, Signal Processing Computing Applications (C2SPCA), 2013 International Conference on, 2013

Year : 2013

Dynamic gesture recognition of Indian sign language considering local motion of hand using spatial location of Key Maximum Curvature Points

Authors : Dr. Geetha M., Aswathi, P. V

Publisher : 2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)


M. Geetha and Aswathi, P. V., “Dynamic gesture recognition of Indian sign language considering local motion of hand using spatial location of Key Maximum Curvature Points”, in 2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 2013.

Year : 2013

A Stroke Based Representation of Indian Sign Language Signs Incorporating Global and Local Motion Information

Authors : Dr. Geetha M., Dr. M. R. Kaimal, Aswathi, P. V., and Dr. Kaimal, M. R.

Publisher : Second International Conference on Advanced Computing, Networking and Security


M. Geetha, Aswathi, P. V., and Dr. Kaimal, M. R., “A Stroke Based Representation of Indian Sign Language Signs Incorporating Global and Local Motion Information”, in Second International Conference on Advanced Computing, Networking and Security, 2013.

Year : 2011

Gesture recognition for American sign language with polygon approximation

Authors : Dr. Geetha M., Menon, R., Jayan, S., James, R., and Janardhan, G. V. V

Publisher : Proceedings - IEEE International Conference on Technology for Education, T4E 2011


M. Geetha, Menon, R., Jayan, S., James, R., and Janardhan, G. V. V., “Gesture recognition for American sign language with polygon approximation”, in Proceedings - IEEE International Conference on Technology for Education, T4E 2011, Chennai, Tamil Nadu, 2011, pp. 241-245

Book Chapter

Year : 2020

CNN and Stacked LSTM Model for Indian Sign Language Recognition

Authors : Dr. Geetha M., C. Aparna

Publisher : Machine Learning and Metaheuristics Algorithms, and Applications

C. Aparna and M. Geetha, “CNN and Stacked LSTM Model for Indian Sign Language Recognition”, in Machine Learning and Metaheuristics Algorithms, and Applications, 2020, pp. 126-134

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